Can it become linear, then linear regression could be done.
Should I estimate using non linear estimates?
It is a linear model because it is linear in the regression coefficients. So see KUTNER ET AL APPLIED LINEAR STATISTICAL MODELS for full details.. it's available in the z-library for download. Best wishes, David Booth
You can use the following transformations to change it to a clear linear regression
X1=ln(x1)
X2=ln(x2)
Ynew=ln(y)-ln[...]
Babak Jamshidi , David Eugene Booth thanks for the suggestion. However a little clarification on the last expression: ln(1-e(-lambda1(x3)).
Can this expression be linearized or else?
Thanks again!
One more time you don't need to linearize anything it's the regression coefficients that matter. Please read the Kutner book it's a free download from the z-library. David Booth
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